A current transformer detection method and a detection system
By injecting a wideband excitation signal into the current transformer and constructing a multi-physics coupling model, the contribution of harmonic components to magnetic flux accumulation is quantified. This solves the problem that existing detection methods cannot accurately assess the saturation characteristics of current transformers under harmonic environments, enabling more accurate equipment selection and fault analysis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BAODING JIZHONG ELECTRIC POWER EQUIP CO LTD
- Filing Date
- 2026-02-10
- Publication Date
- 2026-05-29
AI Technical Summary
Existing current transformer detection methods cannot accurately reflect their true saturation characteristics under actual dynamic current conditions containing abundant harmonics, leading to the hidden risk of premature saturation in harmonic environments. Furthermore, there is a lack of quantitative analysis methods for the specific contribution of each harmonic component during the saturation process, making it impossible to conduct accurate assessments and optimize equipment selection.
By injecting a preset wide-range excitation signal into the current transformer, collecting the terminal voltage and response current, establishing a frequency-varying characteristic dataset, separating the frequency-varying characteristic components of eddy current loss and hysteresis loss, constructing a multi-physics coupling model, performing time-domain transient solution, quantifying the contribution of each harmonic component to magnetic flux accumulation, and generating dynamic saturation margin evaluation parameters.
It enables a true assessment of the saturation characteristics of current transformers under harmonic excitation, reduces the risk of false tripping or failure to tripping caused by traditional assessment methods, and provides targeted guidance for equipment selection and fault analysis.
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Figure CN122109968A_ABST